Plans for the week of February 9-13

Dear all, welcome back to FYS5429/9429. This week the plan is to exclusively focus on how we can construct a code for convolutional neural networks (CNNs) and discuss the basic mathematics of the CNNs. We will continue with this topic next week as well, before we start with recurrent neural networks (RNNs).? For many of you these topics may be familiar, but together with neural networks and Autoencoders they define to a large extent what we may call the standard discriminative deep learning methods. We have thus decided to discuss these methods with an emphasis on the mathematics and how to write your own codes for either a CNN or an RNN (this is a possible project option, the so-called coding option).

After our discussions of these discriminative methods, we will move into a discussion of generative methods (mid March). These methods will keep us busy till the end of April, before we attempt an excursion into reinforcement learning (May).

The slides for this week are at (jupyter-notebook) ?https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week4/ipynb/week4.ipynb

Tomorrow during the lab sessions I will also upload and present the final suggestions for projects from our side. However, many of you have already developed and presented several extremely interesting projects. If you are interested in presenting and/or discuss your suggestions, feel free to do so as well. The present list of suggestions is at https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/Projects/ProjectProposals/2026

Feel free to take a look again in case you have not yet made up your mind.?

Best wishes to you all,

Morten, Oda and Ruben